scholarly journals Comprehensive genetic characterization of rosette-forming glioneuronal tumors: independent component analysis by tissue microdissection

2017 ◽  
Vol 28 (1) ◽  
pp. 87-93 ◽  
Author(s):  
Yohei Kitamura ◽  
Takashi Komori ◽  
Makoto Shibuya ◽  
Kentaro Ohara ◽  
Yuko Saito ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
Genetic Characterization ◽  
Component Analysis ◽  
Independent Component ◽  
Tissue Microdissection ◽  
Glioneuronal Tumors

scholarly journals Characterization of the seismic dynamical state through joint analysis of earthquakes and seismic noise: the example of Ischia Volcanic Island (Italy)

2020 ◽  
Vol 52 ◽  
pp. 19-28
Author(s):  
Paola Cusano ◽  
Simona Petrosino ◽  
Enza De Lauro ◽  
Salvatore De Martino ◽  
Mariarosaria Falanga
Keyword(s):  
Independent Component Analysis ◽  
Seismic Noise ◽  
Component Analysis ◽  
Structural Features ◽  
Independent Component ◽  
Joint Analysis ◽  
Independent Components ◽  
Ischia Island ◽  
Fluid Solid Interaction

Abstract. This work is devoted to the study of both earthquakes and background seismic noise at Ischia Island (Italy) recorded pre and post the Md 4.0 earthquake occurred on 21 August 2017 (18:57 UTC). We compare and characterize noise and earthquakes in terms of Independent Component Analysis, energy and polarization properties. The earthquakes' waveforms and the background noise are decomposed into a few independent components with two main common signals peaked around 1–2 and 3–4 Hz, respectively. A slight increase of the energy of the background seismic noise is observed comparing samples recorded in 2016 and 2017, whereas no variations are detected in 2017 pre and post the main earthquake. The polarization analysis, performed in the frequency bands individuated by Independent Component Analysis and applied to the background seismic noise, indicates a shallow propagation and the azimuthal pattern is mainly controlled by the local structural features. These results suggest that noise and earthquakes are ascribable to a common phenomenon of fluid-solid interaction in the hydrothermal system of Ischia Island.

scholarly journals Characterization of Strombolian events by using independent component analysis

2004 ◽  
Vol 11 (4) ◽  
pp. 453-461 ◽  
Author(s):  
A. Ciaramella ◽  
E. De Lauro ◽  
S. De Martino ◽  
B. Di Lieto ◽  
M. Falanga ◽  
...  
Keyword(s):  
Independent Component Analysis ◽  
High Frequency ◽  
Low Frequency ◽  
Component Analysis ◽  
Frequency Component ◽  
Independent Component ◽  
Stromboli Volcano ◽  
Pipe Model ◽  
Organ Pipe

Abstract. We apply Independent Component Analysis (ICA) to seismic signals recorded at Stromboli volcano. Firstly, we show how ICA works considering synthetic signals, which are generated by dynamical systems. We prove that Strombolian signals, both tremor and explosions, in the high frequency band (>0.5 Hz), are similar in time domain. This seems to give some insights to the organ pipe model generation for the source of these events. Moreover, we are able to recognize in the tremor signals a low frequency component (<0.5 Hz), with a well defined peak corresponding to 30s.

Ultrasound-Based Characterization of Prostate Cancer Using Joint Independent Component Analysis

2015 ◽  
Vol 62 (7) ◽  
pp. 1796-1804 ◽  
Author(s):  
Farhad Imani ◽  
Mahdi Ramezani ◽  
Saman Nouranian ◽  
Eli Gibson ◽  
Amir Khojaste ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Independent Component Analysis ◽  
Component Analysis ◽  
Independent Component
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